Ahmad Yasser Afaghani

About

Ahmad Yasser Afaghani is a robotics researcher whose work focuses on the critical challenge of real-time collision avoidance for industrial manipulators. His primary research areas include multi-robot coordination, collision detection, and deadlock resolution in shared workspaces. Afaghani’s major contribution is the development of the **Advanced Collision Map**, a novel framework that enables multiple robot arms—controlled by unpredictable point-to-point (PTP) commands—to detect and avoid collisions on the fly without prior knowledge of each other’s trajectories. His most cited paper, “On-line collision avoidance between two robot manipulators using collision map and simple Escaping method” (2013, 16 citations), introduced an efficient algorithm for end-effector collision avoidance using a simple escaping maneuver. This work laid the foundation for his subsequent studies, including a 2015 paper (9 citations) that extended the method to n-robot systems. Afaghani’s research is particularly notable for its practical application to industrial settings, where multiple robots must operate safely without centralized control. His work has been published in respected venues like the *Journal of Robotics and Mechatronics*, and his cumulative citations reflect a growing impact on the field of collaborative robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   On-line collision avoidance between two robot manipulators using collision map and simple Escaping method

   16 citations · 2013
2. 2
   On-line collision detection of n-robot industrial manipulators using advanced collision map

   9 citations · 2015
3. 3
   Advanced-collision-map-based on-line collision and deadlock avoidance between two robot manipulators with PTP commands

   7 citations · 2014
4. 4
   On-Line Collision Avoidance of Two Command-Based Industrial Robotic Arms Using Advanced Collision Map

   5 citations · 2014

Key Collaborators

Contact & Links